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Hyperspectral Stimulated Raman Scattering image enhancement, denoising and segmentation via a deep neural-net

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1109/PN52152.2021.9597933
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Affiliation
  1. National Research Council of Canada. Security and Disruptive Technologies
  2. National Research Council of Canada. Metrology Research Centre
FormatText, Article
Conference2021 Photonics North (PN), 2021-05-31 - 2021-06-02, Toronto, ON, Canada
Subjectstimulated Raman Scattering microscopy; deep convolutional neural net; pattern recognition; classification; image segmentation; image recognition; microscopy; raman scattering; noise reduction; neural networks; image enhancement
Abstract
We demonstrate the use of an unsupervised convolutional autoencoder neural network to denoise and segment hyperspectral Stimulated Raman Scattering images.
Publication date
PublisherIEEE
In
  • 2021 Photonics North (PN), 9597933.
LanguageEnglish
Peer reviewedYes
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Record identifier9dc4b93b-4129-4c0e-b2b1-c704193588c1
Record created2023-01-19
Record modified2023-01-19
Date modified: